Chanyeol Yoo

About

Chanyeol Yoo is a leading roboticist whose research focuses on multi-robot coordination, active perception, and motion planning under uncertainty, with a strong emphasis on marine and aerial robotics. His major contributions include pioneering the Dec-MCTS framework for multi-robot region-of-interest reconstruction, which has been applied to precision agriculture and infrastructure inspection, and developing a cooperative active pose-graph SLAM method that leverages weak graph connections for efficient multi-robot localization. Yoo has also made significant advances in formal methods for robotics, creating provably-correct stochastic motion planning algorithms that minimize mission time while ensuring safety, and introducing temporal logic for interpretable time series classification. His work on fuel-constrained aerial robots in wind fields and path planning in uncertain ocean currents using ensemble forecasts has been instrumental for real-world autonomous systems operating in dynamic environments. With over 180 citations across his top ten papers, Yoo’s research has been published in leading robotics venues and is recognized for its theoretical rigor and practical impact. His hierarchical planning approaches for marine robots and scalable multi-vessel systems demonstrate his commitment to solving complex, real-world coordination challenges.

Research Focus

Key Achievements

Top Papers

1. 1
   Multi-Robot Region-of-Interest Reconstruction with Dec-MCTS

   37 citations · 2019
2. 2
   Broadcast Your Weaknesses: Cooperative Active Pose-Graph SLAM for Multiple Robots

   30 citations · 2020
3. 3
   Online task planning and control for fuel-constrained aerial robots in wind fields

   25 citations · 2015
4. 4
   Provably-correct stochastic motion planning with safety constraints

   24 citations · 2013
5. 5
   Rich Time Series Classification Using Temporal Logic

   14 citations · 2017
6. 6
   Active perception for plume source localisation with underwater gliders

   12 citations · 2018
7. 7
   Path Planning in Uncertain Ocean Currents using Ensemble Forecasts

   12 citations · 2021
8. 8
   Hierarchical Planning in Time-Dependent Flow Fields for Marine Robots

   12 citations · 2020
9. 9
   Distance and Steering Heuristics for Streamline-Based Flow Field
\n Planning

   10 citations · 2020
10. 10
    Hierarchical MCTS for Scalable Multi-Vessel Multi-Float Systems

    8 citations · 2021

Key Collaborators

Contact & Links